Results 151 to 160 of about 2,913 (212)

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang   +5 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

The Effect of Alloying Elements and Impurities on the Composition and Formation of Intermetallic Particles in Titanium and Titanium Alloys

open access: yesSurface and Interface Analysis, EarlyView.
ABSTRACT The corrosion resistance of alpha and near‐alpha titanium alloys has resulted in their widespread application in extreme environments. Their corrosion behavior is often influenced by their microstructure, particularly intermetallic particles (IMPs), and even slight compositional variations can produce significant differences in microstructure ...
Adam M. Morgan   +3 more
wiley   +1 more source

Effect of Metal–Metal Distance on the Performance of Dual‐Atom Catalysts for the Oxygen Reduction Reaction: A Density Functional Theory and Micro‐kinetics Study

open access: yesSmall, EarlyView.
Density functional theory calculations and microkinetic modeling were carried out on 108 dual‐atom catalysts with varied metalmetal distances ranging from 2.2 to 3.5 Å. The results reveal that moderate spacing of around 3.0 Å promotes bridging oxygen adsorption and dissociative reduction pathways, weakens the hydroxylhydroperoxyl scaling relationship ...
Yu Mao   +7 more
wiley   +1 more source

Sodium‐Based Battery Component Design: Imitating Lithium or Forging New Paths?

open access: yesSmall, EarlyView.
This Perspective elucidates the decisive yet underexplored impact of cation chemistry, Na+ vs. Li+ charge carriers, on the design, selection, and formulation of their corresponding battery systems, addressing common misconceptions and the pitfalls of overreliance on Li+ design principles. Leveraging the unique characteristics of Na+, it comprehensively
Xingxing Wang   +13 more
wiley   +1 more source

Mechanical Properties and Corrosion Behavior of Biodegradable Metals: Current Challenges. [PDF]

open access: yesMaterials (Basel)
Nazeran F   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy